An Approach for a Multi-Objective Capacitated Transportation Problem

Author:

Kara Nurdan1,Köçken Hale Gonce2ORCID

Affiliation:

1. National Defence University, Turkey

2. Yildiz Technical University, Turkey

Abstract

The multi-objective solid transportation problem is a special class of vector-minimum linear programming problems in which the objectives are often in conflict. Furthermore, the supply, demand, and conveyance constraints in MSTP may not be only of equality type but also of inequality type. The fuzzy programming approach is one of the most common solution methods for multi-objective programming problems. In this approach, linear membership functions are generally used in the literature. In this study, the fuzzy programming approach is applied by utilizing a special type of non-linear (exponential) membership functions to solve the multi-objective capacitated solid transportation problem (MCSTP) and a Pareto-optimal solution is obtained. Finally, an application from the literature is provided to illustrate the efficiency of the exponential membership function. Also, a comparison is presented with the solution obtained by using a linear membership function.

Publisher

IGI Global

Reference36 articles.

1. Ahlatçıoğlu, M., & Sivri, M. (1988). A Solution Proposal for Solving Three-Dimension Transportation Problem. İ.T.Ü, (22), 9-12.

2. Solution of multi-objective solid transportation problem in fuzzy approach

3. On quadratic fractional generalized solid bi-criterion transportation problem

4. Fuzzy programming with hyperbolic membership functions for multiobjective capacitated transportation problem

5. Fuzzy programming with hyperbolic membership functions for multi- objective capacitated solid transportation problem.;A. K.Bit;The Journal of Fuzzy Mathematics,2005

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3